Graphene-Like Two-Dimensional Materials
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTGraphene-Like Two-Dimensional MaterialsMingsheng Xu*, Tao Liang, Minmin Shi, and Hongzheng ChenView Author Information State Key Labor...
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Measurement Invariance, Factor Analysis and Factorial Invariance
Several concepts are introduced and defined: measurement invariance, structural bias, weak measurement invariance, strong factorial invariance, and strict factorial invariance. ...
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Regional dropout strategies have been proposed to enhance performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to atte...
Civilization and Its Discontents
During the summer of 1929, Freud worked on what became this seminal volume of twentieth-century thought. It stands as a brilliant summary of the views on culture from a psychoan...
In silico analysis enabling informed design for genome editing in medicinal cannabis; gene families and variant characterisation
Cannabis has been used worldwide for centuries for industrial, recreational and medicinal use, however, to date no successful attempts at editing genes involved in cannabinoid b...
How To Correctly Determine the Band Gap Energy of Modified Semiconductor Photocatalysts Based on UV–Vis Spectra
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTHow To Correctly Determine the Band Gap Energy of Modified Semiconductor Photocatalysts Based on UV–Vis SpectraPatrycja MakułaPatry...
On Growth and Form, 1917
Introduction John Tyler Bonner VII 1. Introductory 2. On magnitude 3. The forms of cells 4. The forms of tissues, of cell-aggregates 5. On spicules and spicular skeletons 6. The...
The Delphi Technique: Making Sense of Consensus
The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communicatio...
Randomized Algorithms
Randomized algorithms, once viewed as a tool in computational number theory, have by now found widespread application. Growth has been fueled by the two major benefits of random...
ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations
Increasing model size when pretraining natural language representations often\nresults in improved performance on downstream tasks. However, at some point\nfurther model increas...